Intel Arc Pro A60M vs NVIDIA N1 16SM Comparison
Intel Arc Pro A60M
N1 16SM
Analysis: Intel Arc Pro A60M vs NVIDIA N1 16SM
The Intel Arc Pro A60M and the NVIDIA N1 16SM represent two distinct approaches to integrated graphics, one aimed at professional mobile workstations and the other at a future generation of system-on-chip designs. The recorded data shows two GPUs with identical shader counts and ray tracing core counts but fundamentally different architectures, memory subsystems, and performance characteristics. This analysis draws exclusively from the database specifications to compare their theoretical capabilities and architectural philosophies.
Head-to-Head Benchmarks
The database contains no direct benchmark scores for either GPU, so the head-to-head comparison must be derived from the recorded compute and fillrate specifications. The most significant discrepancy appears in raw floating-point throughput. The NVIDIA N1 16SM delivers 9.609 TFLOPS of FP32 performance, while the Intel Arc Pro A60M produces 5.325 TFLOPS. This translates to the NVIDIA part being roughly 80% faster in FP32 compute, a substantial advantage for general-purpose compute workloads that rely on single-precision math.
The gap in FP16 performance is equally telling. The Arc Pro A60M achieves 10.65 TFLOPS using a 2:1 ratio, meaning it doubles its throughput when operating on half-precision data. The NVIDIA N1 16SM, by contrast, delivers 9.609 TFLOPS in FP16 with a 1:1 ratio, meaning it does not gain any advantage from reduced precision. Despite the Intel GPU's architectural optimization for FP16, the NVIDIA part still trails by only about 10% in raw FP16 numbers, demonstrating that the N1 16SM's baseline FP32 capability is high enough to remain competitive even without a dedicated FP16 path.
Texture fillrate favors the NVIDIA part decisively. The N1 16SM processes 300.3 GTexel/s compared to the Arc Pro A60M's 166.4 GTexel/s, a difference of roughly 80%. This advantage stems from the NVIDIA GPU's much higher boost clock of 2346 MHz versus the Intel part's 1300 MHz boost, which more than compensates for the identical 128 texture mapping units on both chips. In texture-heavy workloads such as modern game rendering or procedural content generation, the NVIDIA part should sustain significantly higher throughput.
Pixel fillrate, however, reverses the trend. The Intel Arc Pro A60M outputs 83.20 GPixel/s, while the NVIDIA N1 16SM manages 56.30 GPixel/s. The Intel GPU's advantage here is approximately 48%, driven by its 64 ROPs compared to the NVIDIA part's 24 ROPs. This suggests the Intel architecture allocates more hardware resources to final framebuffer operations and rasterization, which could benefit traditional rasterized rendering at high resolutions.
Memory bandwidth provides a closer contest. The NVIDIA N1 16SM uses a 256-bit LPDDR5X interface to achieve 273.2 GB/s, while the Intel Arc Pro A60M relies on a 128-bit GDDR6 bus for 256.0 GB/s. The NVIDIA part holds a modest 7% bandwidth advantage, but this comes with a dramatically larger memory pool. The N1 16SM is configured with 128 GB of memory, sixteen times the Arc Pro A60M's 8 GB. For workloads that exceed the Intel GPU's capacity, such as large dataset processing or high-resolution texture sets, the NVIDIA part's memory size is a categorical advantage.
The NVIDIA N1 16SM also carries 64 tensor cores, while the Intel Arc Pro A60M lists none. This gives the NVIDIA part a dedicated path for AI acceleration, deep learning inference, and matrix-based compute that the Intel GPU lacks entirely. Similarly, the NVIDIA part's 16 ray tracing cores match the Intel GPU's count, but without benchmark data, the relative ray tracing efficiency remains unknown.
The Verdict
The data indicates two different target use cases. The Intel Arc Pro A60M, with its higher pixel fillrate, 8 GB of GDDR6, and FP16 acceleration, appears oriented toward professional graphics workloads where rasterization output and half-precision compute matter. Its 95 W TDP and PCIe 4.0 x16 interface suggest a mobile workstation part designed for sustained rendering tasks. The NVIDIA N1 16SM, with its massive 128 GB memory pool, 64 tensor cores, and PCIe 5.0 x16 interface, points toward a unified memory architecture for AI, data processing, and heterogeneous computing. Its 5 nm process and 382 mm² die size, compared to the Intel part's 6 nm and 269 mm², indicate a more complex, denser design.
For raw FP32 compute and texture throughput, the NVIDIA part is the clear winner, sitting roughly 80% ahead of the Intel GPU in both metrics. For pixel fillrate and FP16 peak throughput, the Intel part holds advantages of 48% and 11%, respectively. The NVIDIA part's 64 tensor cores are an absolute differentiator, enabling AI workloads that the Intel GPU cannot accelerate through dedicated hardware. The choice between these two parts depends entirely on whether the workload prioritizes rasterization and half-precision graphics or general compute, AI inference, and memory capacity.
Architecture Differences
The Intel Arc Pro A60M uses the DG2-256 chip built on the Xe-HPG architecture, part of the Alchemist generation for Pro-Series Mobile. This architecture is fabricated on a 6 nm TSMC process with 11,500 million transistors on a 269 mm² die, yielding a transistor density of 42.8M per mm². The Xe-HPG design targets gaming and professional graphics with support for DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The base clock runs at 900 MHz with a boost of 1300 MHz, and memory operates at 2000 MHz with 16 Gbps effective speed.
The NVIDIA N1 16SM uses the GB20B chip based on Blackwell 2.0 architecture, from the Blackwell IGP generation. This part is fabricated on a 5 nm TSMC process with a 382 mm² die size, though the transistor count is listed as unknown. The smaller process node and larger die suggest a more complex design with higher density, though the database does not record a transistor density figure. The base clock is 741 MHz with a boost of 2346 MHz, a significantly higher boost ceiling than the Intel part. Memory runs at 1067 MHz with 8.5 Gbps effective speed. The NVIDIA part lists no DirectX, OpenGL, or Vulkan API support in the database, indicating it may rely on proprietary or platform-specific interfaces rather than standard graphics APIs.
Both parts share 2048 shading units, 128 TMUs, and 16 RT cores, but they diverge in ROP count: the Intel GPU has 64 ROPs while the NVIDIA part has 24. The NVIDIA part adds 64 tensor cores, a feature entirely absent from the Intel GPU. The NVIDIA part's FP16 throughput matches its FP32 at a 1:1 ratio, whereas the Intel part doubles FP16 throughput at a 2:1 ratio.
Specification Differences
The two GPUs differ across nearly every recorded specification. The Intel Arc Pro A60M uses a DG2-256 chip with Xe-HPG architecture, while the NVIDIA N1 16SM uses GB20B with Blackwell 2.0. The process nodes differ: 6 nm for Intel versus 5 nm for NVIDIA. The Intel die is 269 mm², while the NVIDIA die is 382 mm². The Intel part contains 11,500 million transistors, while the NVIDIA transistor count is unknown. The Intel transistor density is 42.8M per mm², with no density recorded for NVIDIA.
Clock speeds show a substantial gap. The Intel base clock is 900 MHz versus 741 MHz for NVIDIA, but the boost clocks reverse this: 1300 MHz for Intel versus 2346 MHz for NVIDIA. Memory clocks differ as well: Intel runs at 2000 MHz with 16 Gbps effective, while NVIDIA runs at 1067 MHz with 8.5 Gbps effective. Memory capacity and type diverge sharply: Intel uses 8 GB of GDDR6 on a 128-bit bus, while NVIDIA uses 128 GB of LPDDR5X on a 256-bit bus. Bandwidth is closer: 256.0 GB/s for Intel versus 273.2 GB/s for NVIDIA.
The ROP count differs (64 for Intel, 24 for NVIDIA), and the NVIDIA part includes 64 tensor cores while Intel lists none. FP32 and FP16 performance both favor NVIDIA: 9.609 TFLOPS versus 5.325 TFLOPS in FP32, and 9.609 TFLOPS versus 10.65 TFLOPS in FP16. Pixel rate favors Intel at 83.20 GPixel/s versus 56.30 GPixel/s, while texture rate favors NVIDIA at 300.3 GTexel/s versus 166.4 GTexel/s. The Intel part has a 95 W TDP, while the NVIDIA TDP is unknown. The NVIDIA part lists no power connectors, while Intel lists none as well but with an unspecified connector setup. The bus interface differs: PCIe 4.0 x16 for Intel versus PCIe 5.0 x16 for NVIDIA. Display outputs are portable device dependent for Intel versus 1x HDMI for NVIDIA. The Intel part supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the NVIDIA part lists N/A for all three APIs.
FAQ
Q: Which GPU has higher FP32 compute performance?
A: The NVIDIA N1 16SM delivers 9.609 TFLOPS in FP32, compared to the Intel Arc Pro A60M's 5.325 TFLOPS, making the NVIDIA part about 80% faster in single-precision compute.
Q: How do the memory configurations compare?
A: The Intel Arc Pro A60M uses 8 GB of GDDR6 on a 128-bit bus with 256.0 GB/s bandwidth, while the NVIDIA N1 16SM uses 128 GB of LPDDR5X on a 256-bit bus with 273.2 GB/s bandwidth.
Q: Does either GPU support tensor or AI acceleration hardware?
A: The NVIDIA N1 16SM includes 64 tensor cores, while the Intel Arc Pro A60M lists no tensor cores in its specification.
Q: Which GPU has better pixel fillrate?
A: The Intel Arc Pro A60M achieves 83.20 GPixel/s, approximately 48% higher than the NVIDIA N1 16SM's 56.30 GPixel/s, due to its 64 ROPs versus 24 ROPs.
Q: What API support does each GPU offer?
A: The Intel Arc Pro A60M supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the NVIDIA N1 16SM lists N/A for DirectX, OpenGL, and Vulkan.
Q: What are the process nodes and die sizes?
A: The Intel Arc Pro A60M uses a 6 nm TSMC process with a 269 mm² die, while the NVIDIA N1 16SM uses a 5 nm TSMC process with a 382 mm² die.